MicrobiomeDB
@microbiomeDB
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MicrobiomeDB is a free #datamining and #dataviz web resource and R package for interrogating #microbiome and #metagenomic studies. A project from @hostmicrobe.
Philadelphia, PA
Joined September 2016
Check out the new R package for accessing data and analytic tools!.
Excited to announce the beta release of our new MicrobiomeDB R package! This package is intended to be companion to our @microbiomeDB website and provides convenient, programmatic access to all of our curated 16S and shotgun metagenomic datasets. #microbiome #rstats #dataviz
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RT @hostmicrobe: Excited to announce the beta release of our new MicrobiomeDB R package! This package is intended to be companion to our @m….
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RT @hostmicrobe: Haven't posted here in a while, but lots of exciting things happening with our @microbiomeDB project! Release 34 rolled o….
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We are aware of and are working to address an issue that results in our system emails being rejected by users’ gmail accounts. Stay tuned.
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Release 27 is live! 🎉, featuring new shotgun metagenomic data from over 1000 samples collected as part of ongoing studies in Niger and Malaysia. Check it out!
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RT @ClinEpiDB: 📢Join us for a free virtual workshop to learn how to use epidemiological data on ClinEpiDB (a new and improved version✨) and….
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MicrobiomeDB ✨v23✨ is now live and includes new metagenomic data from over 1200 stool samples, as well as our first mosquito #microbiome study. Check it out!
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RT @hostmicrobe: Exciting release for our @microbiomeDB resource! Includes shotgun metagenomic data from @hmpdacc Phase I (741 samples fro….
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RT @ClinEpiDB: We are pleased to announce the release of ✨ClinEpiDB 17! ✨New features include a Data Access Dashboard that allows study tea….
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We are excited to announce the release of MicrobiomeDB 22, featuring new shotgun metagenomic data from nearly 2000 samples! In addition, this release includes numerous improvements to our #Shiny apps.
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RT @hostmicrobe: If you missed our @microbiomeDB webinar with @NIAIDBioIT today, don't sweat it! You can watch the recording. Learn how t….
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RT @ClinEpiDB: Reminder, it's not too late to register for Clair Null's presentation on #WASH benefits which starts in one hour! https://t.….
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RT @hostmicrobe: @microbiomDB is teaming up with @NIAIDBioIT to host a free 1hr webinar on web-based tools for #microbiome data analysis. L….
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RT @ClinEpiDB: On April 20, one week from today, we kick off our webinar series with a presentation from Dr. Samuel Gonahasa on #malaria in….
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RT @ClinEpiDB: From a new paper by @moorejh and team at UPenn: “Embedding AutoML tools within epidemiology platforms like ClinEpiDB would e….
ssph-journal.org
The traditional approach to modeling the determinants of an outcome of interest in epidemiology consists of employing statistical methodologies, typically re...
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Finally, thrilled to announce a new collab with @NIAIDBioIT that allows you to analyze raw 16S #microbiome data on their site and push results to a private workspace on @microbiomeDB. Read more about this below, and stay tuned for a joint webinar.
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Also available is unpublished data from @pauljplanet's lab on the ecology of #cysticfibrosis ('Eco-CF'). Includes 16S #microbiome data from over 800 oral/respiratory samples from 169 pediatric CF patients. Thanks to @DorisDukeFdn's Data Sharing Award for making this possible!.
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We used @nextflowio and #biobakery v3 tools to develop an automated data loading workflow that handles shotgun metagenomic studies. This allowed us to load our first metagenomic dataset from @volatilebug's 2016 preterm infant resistome study.
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Release 21 is live and includes new features and data! .🧵below on the details of this release.
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